HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench ML Score
2304
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 17 2024 06:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 15-fe0xxx |
| Motherboard | HP 8BDF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1160
217.1 IPS |
|
|
Image Classification (F16)
|
100% |
1138
212.9 IPS |
|
|
Image Classification (I8)
|
100% |
904
169.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1644
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1802
30.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1239
20.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10855
13.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
11015
13.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
5427
6.57 IPS |
|
|
Object Detection (F32)
|
100% |
1277
95.4 IPS |
|
|
Object Detection (F16)
|
100% |
1275
95.2 IPS |
|
|
Object Detection (I8)
|
54% |
1041
77.7 IPS |
|
|
Face Detection (F32)
|
100% |
2504
29.8 IPS |
|
|
Face Detection (F16)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (I8)
|
89% |
1648
19.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5556
43.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5319
41.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
3930
30.5 IPS |
|
|
Style Transfer (F32)
|
100% |
22884
30.1 IPS |
|
|
Style Transfer (F16)
|
100% |
23771
31.3 IPS |
|
|
Style Transfer (I8)
|
98% |
14388
18.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3302
117.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3288
117.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1429
51.0 IPS |
|
|
Text Classification (F32)
|
100% |
711
1.02 KIPS |
|
|
Text Classification (F16)
|
100% |
742
1.07 KIPS |
|
|
Text Classification (I8)
|
98% |
428
615.4 IPS |
|
|
Machine Translation (F32)
|
100% |
969
17.8 IPS |
|
|
Machine Translation (F16)
|
100% |
950
17.5 IPS |
|
|
Machine Translation (I8)
|
70% |
504
9.28 IPS |
